Sessions at JAX London 2011 - Autumn Edition about Java on Tuesday 1st November

Heroku is a Polyglot Cloud Application Platform that makes it easy to deploy Java & Play! apps to the cloud. With no servers, routers, load balancers etc. to manage, you’re free to focus entirely on your code and deployment is as simple as doing a "git push". This session will teach you how to deploy and scale Java & Play! apps on Heroku.

This talk introduces the Java EE 7 platform, the latest revision of the Java platform for the enterprise. The focus of Java EE 7 is on the cloud, and specifically it aims to bring Platform-as-a-Service providers and application developers together so that portable applications can be deployed on any cloud infrastructure and reap all its benefits in terms of scalability, elasticity, multitenancy, etc. Furthermore, Java EE 7 continues the ease of development push that characterized prior releases by bringing further simplification to enterprise development. It also adds new, important APIs such as the REST client API in JAX-RS 2.0 and the long awaited Concurrency Utilities for Java EE API, and plenty of improvements to all other components.

This session explores Apache TomEE, pronounced “Tommy”, an all-Apache Web Profile stack built on Tomcat, which adds all the Java EE Web Profile features, while taking nothing away. The session will show you how to get started with TomEE, how to use it with a sample application, and how you can test your application with TomEE using tools like Arquillian.

Key/value stores are the most common storage offerings in the cloud today. We'll introduce storage concepts and differences between cloud storage providers including Amazon S3, Rackspace Cloud Files & Microsoft Azure Blob Service. We'll demonstrate how jclouds BlobStore helps Java and Clojure developers avoid lock-in and increase testability without restricting access to provider-specific features

With the increasing ubiquity of multicore and hence parallel systems people are needing better ways of structuring applications than using shared-memory multi-threading. In this session we will look at actors, agents and active objects -- and their implementation in GPars. GPars is a Groovy/Java framework for managing concurrency and parallelism. It leverages all the JSR166 APIs.